← Representative work

Applied ML & decision systems

Behavioural detection and review

Connect behavioural signals to evaluated scoring, review and monitoring.

Illustrative problem pattern. Outcomes describe the intended result.

Problem

Rules struggle to distinguish harmful behaviour from legitimate activity.

Why difficult

Labels can be incomplete or delayed, behaviour changes, and false positives create operational costs.

Approach

Review signal quality and existing controls, then compare candidate models against agreed evaluation and review criteria.

Analytical system

A feature pipeline, versioned scoring logic, review workflow and monitoring of model and data behaviour.

Implementation

Shadow-test candidate logic, inspect threshold trade-offs and document rollback conditions before changing live decisions.

Outcome sought

A reviewable decision process with explicit thresholds, monitoring and escalation routes.

Handover

Feature definitions, evaluation records, operational runbooks and ownership of review and retraining.

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